一种新的基于随机环境路径规划问题的q -学习算法

2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) Pub Date : 2020-12-01 DOI:10.1109/TrustCom50675.2020.00270

Li Jian, Fei Rong, Tang Yu

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引用次数: 0

摘要

本文提出了一种基于q -学习模型模拟环境模型的路径规划算法，该算法适用于复杂环境。建立了虚拟仿真平台来完成实验。实验结果表明，本文提出的算法可以有效地应用于复杂环境下的车辆路径问题的求解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A novel Q-Learning Algorithm Based on the Stochastic Environment Path Planning Problem

In this paper, we proposed a path planning algorithm based on Q-learning model to simulate an environment model, which is suitable for the complex environment. A virtual simulation platform has been built to complete the experiments. The experimental results show that the algorithm proposed in this paper can be effectively applied to the solution of vehicle routing problems in the complex environment.

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来源期刊

2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

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